Microsoft Technology Licensing, LLC

Vivek Bapuji Dalvi

Alok Jain

Avinash Tiruchanapalli Suresh

Jonathan Acone

Joey Beum Cho

David R Fulmer

Himanshu Agrawal

David P Relyea

Michael J Antonio

Jamie Lee Cool

Fnu Suresh Kumar Koorella

Anurag Dalmia

Ganesh Krishnamurthi

Computing environments are scalably generated and provisioned based on metadata associated with separately defined containers of groups of sandboxes. Each container of a group of sandboxes is its own digital construct and is wrapped with metadata that defines the nature and aspects of the grouping, including enumerating individual members of a team, factors or attributes of assignments, and the like. The metadata, therefore, identifies the sandboxes to generate and, within those sandboxes, the computing environments to generate and how such computing environments are to be provisioned. In variable team settings quantities and identities of individuals can be unknown and can dynamically change. Administrators provide team definitions without rosters, or with rosters that comprise only previously registered individuals. Subsequently joining individuals are dynamically added to the roster and appropriate sandboxes and computing environments are generated at a different time than the sandboxes and computing environments were generated for other users.

Dynamic compute resource assignment and scalable computing environment generation for live environments

Computing environments can be scalably generated and provisioned based on one or more team definitions and definitions of one or more projects assigned to a particular team. Digital constructs can be generated to represent the teams and the projects assigned to such teams, and such digital constructs can comprise metadata identifying sandboxes to generate and, within those sandboxes, computing environments to generate and how such computing environments are to be provisioned. The sandboxes can be generated in parallel and the computing environments can be provisioned in parallel, or staggered based on individual user access. Assignment of consumption limitations can be individually adjusted from default values, and monitoring of such consumption limitations can be performed on an aggregated basis.

Scalable computing environment generation and compute resource assignment

Optimized execution order results (e.g., from a Rete algorithm graph) are correlated with a production ordering selected by a user, thereby more accurately modeling the user's understanding of how productions relate to one another during execution in a rule system. An execution report shows in the user-selected order for each of the rules, whether the rule was executed, the inputs matched to partial conditions of the rule, and partial condition evaluation results. User rule management experience is also enhanced in other ways. For example, a graphical user interface permits user selection of a schema xpath, bulk selection of XML schema nodes to define vocabulary used in rules, if-then-else rules, rules with embedded SQL, marking rules as active or not, receiving multiple kinds of input from a single text input box, locally executing rules, importing rules authored elsewhere, iterating over a collection of objects, and validating rules against vocabulary data types.

Optimized execution order correlation with production listing order

Determining the efficiency of a website. A method includes identifying a plurality of webpages for the website. The method further includes identifying how often each of the pages is accessed when the website is accessed as compared to other webpages in the plurality of webpages. The method further includes creating a weight, for each page, based on a measure of how often each of the pages is accessed when the website is accessed as compared to other webpages. The method further includes determining how efficiently each of the webpages loads. For the website, the method further includes determining an overall efficiency by combining the efficiencies of the individual webpages in the plurality of webpages, where each webpage's efficiency is combined into the overall efficiency according to the weight of the webpage.

Weighted experience website performance score

A system and method for utilizing a first managed process to host at least a second managed process is disclosed. The technology initially provides a first managed process. The first managed process hosting at least a second managed process. An unmanaged process is then provided to facilitate communication between the first managed process and the second managed process, such that a user can automatically communicate with the first managed process while the second managed process is operational and the first managed process is in the background without requiring the user to select the first managed process.

Utilizing a first managed process to host at least a second managed process

A system and method for validating arguments in a request to activate an application is provided. An application may include declarations with information for validating arguments provided with a request to activate the application. A compiler may then compile the source code of the application to generate an assembly with information for validating the arguments and may also generate an entry in a manifest with information identifying the assembly with the information for validating the arguments. The compiler may also generate an activation executable with executable code used for validating the arguments before the application may be executed. When a request may be received with arguments for activation of the application, activation code may validate the arguments and then execute the application code which may access the validated arguments.

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Redmond, WA, United States of America

Vivek Bapuji Dalvi